Big Data Engineer

Role Overview: You will be responsible for designing and building scalable big data solutions using Hadoop and Spark. Your main tasks will involve developing and maintaining big data infrastructure and pipelines. Key Responsibilities: - Design and build scalable big data solutions using Hadoop and Spark. - Develop and maintain data pipelines for processing large datasets. - Optimize data processing performance and efficiency. - Collaborate with data scientists and engineers. - Troubleshoot and resolve big data infrastructure issues. Qualifications Required: - Bachelor's or Master's degree in computer science or a related field. - 3 years of experience in big data engineering. - Proficiency in Hadoop, Spark, and related technologies. - Experience with cloud-based big data platforms (e.g., AWS EMR, Azure HDInsight). - Strong problem-solving and communication skills. Please note that the job description does not include any additional details about the company. Role Overview: You will be responsible for designing and building scalable big data solutions using Hadoop and Spark. Your main tasks will involve developing and maintaining big data infrastructure and pipelines. Key Responsibilities: - Design and build scalable big data solutions using Hadoop and Spark. - Develop and maintain data pipelines for processing large datasets. - Optimize data processing performance and efficiency. - Collaborate with data scientists and engineers. - Troubleshoot and resolve big data infrastructure issues. Qualifications Required: - Bachelor's or Master's degree in computer science or a related field. - 3 years of experience in big data engineering. - Proficiency in Hadoop, Spark, and related technologies. - Experience with cloud-based big data platforms (e.g., AWS EMR, Azure HDInsight). - Strong problem-solving and communication skills. Please note that the job description does not include any additional details about the company.